Rao-Blackwellized Particle Filtering for Mobility Positioning in Mixed Sight Conditions

Abstract:

Article Preview

Mixed sigh conditions include line-of-sight/non-line-of-sight (LOS/ NLOS) conditions, which have adverse impact on the precision for mobility positioning. A first-order Markov model is employed to describe the dynamic transition of sight conditions, which is hidden in measured data. A Rao-Blackwellized Particle filter (RBPF) is proposed to jointly estimate mobile state and the hidden sight state based on the measurement. Simulation results show the effectiveness of the method.

Info:

Periodical:

Edited by:

Long Chen, Yongkang Zhang, Aixing Feng, Zhenying Xu, Boquan Li and Han Shen

Pages:

329-332

DOI:

10.4028/www.scientific.net/AMM.43.329

Citation:

H. M. Hu "Rao-Blackwellized Particle Filtering for Mobility Positioning in Mixed Sight Conditions", Applied Mechanics and Materials, Vol. 43, pp. 329-332, 2011

Online since:

December 2010

Authors:

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.